Transcript ETIS+ PASSENGER DATA Martino 31_01_2012

Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Passenger Transport
Angelo Martino
TRT Trasporti e Territorio srl
Brussels 31st January 2012
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
OUTLINE
• Dataset Contents
• Main features
• Methodology
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
ETISplus DATASETS
Supporting Data
Freight-Logistics
• Socio-economic
• Networks (road,
rail, air, inland,
maritime)
• Level of Service
• Transport
External Impacts
• International
Freight Flows
• National
Freight Flows
• Transport
logistics,
inventory,
containers
Passengers Demand
• Road, rail, air
• Coach
• Local (intrazonal)
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Passenger Demand - Dataset contents (1)
•
Origin-Destination matrices
o
Car - OD Trips and Vehicles matrices
o
Rail - OD Trips matrix
o
Air - OD Trips matrix
•
Local demand (Intra ZONE3 LEVEL trips by distance band)
o
Car
o
Bus (Local public transport)
o
Rail
o
Tram&Metro
o
Walking
o
Cycling
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Passenger Demand - Dataset contents (2)
•
Intercity coach transport
o
Intercity coach demand
o
Intercity coach supply
•
Summary tables
o
Total trips between zones per purpose/mode
o
Total originated/destined trips per purpose
o
Total originated/destined trips per mode
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Dataset main features (1)
Time horizons: 2005 and 2010
Geographical scope : EU27 + Candidate + EFTA +
Neighbouring + Rest of the world (for AIR transport;
intercontinental flows to/from Europe)
Zoning: ETIS zone 3 LEVEL (NUTS3 and similar)
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Dataset main features (2)
Trip purposes:
• Business: Trips for working purposes with different
destination than the usual workplace
• Commuting: Daily trips for working or studying purposes
• Private: Non business related trips (< 4 days)
• Vacation: Non-business trips (> 4 days)
Distance bands for intra zonal trips:
• Trips with length <3Km
• Trips with length between 3 and 25 Km
• Trips with length between 25 and 50 Km
• Trips with length >50 Km
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Methodology - CAR and RAIL (Inter zonal)
VACLAV model
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Methodology - AIR
VIA model
Generation
Check Input / Model Results
Matrix Bounding
Distribution
Assessment Base Statistics
Assessment of Matrix
Mode Choice
Route Choice
Assessment Mode Choice
Airport/Route Choice Assessment
Assessment Statistics
Assignment
Assessment Assignment
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Methodology - Intercity coach services
Estimation from existing supply
Data collection
Data collection on scheduled national and international coach services (2010)
Primary sources: Timetables
Data processing
Geoprocessing of intermediate stops (NUTS3 zone identification)
Demand estimation
OD connected from coach services
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
Funded by the European Commission through
the 7th Framework Programme for Research
http//www.etisplus.eu/
Intercity coach services
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Methodology - Local (intrazonal) demand
Estimation by analytical method based on available observed data
•
Identification of distance bands belonging to each ETIS zone
•
Estimation of trip shares by distance band per mode at national
level
•
Estimation of average trip length by distance band per mode at
national level
•
Differentiation of mode shares per zone (high densely populated
zones have a higher share of public transport)
•
Distribution by trip purposes at zone level
Funded by the European Commission through
the 7th Framework Programme for Research
ETIS+ European Transport Policy Information System Development and
Implementation of Data Collection Methodology for EU Transport Modelling
http//www.etisplus.eu/
Thank you for your attention
[email protected]